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- Tasks: Design and scale data products using Azure Data Engineering and lead large teams.
- Company: Strategic AI partner in the UK with a focus on innovation.
- Benefits: Professional growth opportunities and a collaborative work environment.
- Why this job: Make impactful decisions and drive end-to-end solutions in a dynamic setting.
- Qualifications: Advanced skills in PySpark and Azure Data Platforms, plus leadership experience.
The predicted salary is between 48000 - 72000 £ per year.
A strategic AI partner in the UK seeks a Lead Architect for Azure Data Engineering to design and scale data products across enterprises. Ideal candidates will possess advanced skills in PySpark and Azure Data Platforms, along with experience leading large teams. The role involves driving end-to-end solutions and engaging with senior stakeholders. Join a collaborative environment that values imagination and innovation, offering opportunities for professional growth and a chance to make impactful decisions.
Lead Azure Data Architect for Enterprise Data Platforms in London employer: Fractal
Contact Detail:
Fractal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Azure Data Architect for Enterprise Data Platforms in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the Azure Data Engineering space on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with PySpark and Azure Data Platforms. This could be a GitHub repository or a personal website where you share projects and case studies.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and team leadership. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Lead Azure Data Architect for Enterprise Data Platforms in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your advanced skills in PySpark and Azure Data Platforms. We want to see how you can leverage these tools to design and scale data products effectively.
Lead with Experience: Since this role involves leading large teams, share your leadership experiences. Tell us about times you've driven end-to-end solutions and engaged with senior stakeholders.
Be Creative: We value imagination and innovation, so don’t hesitate to showcase your creative problem-solving skills. Share examples of how you've approached challenges in unique ways.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Fractal
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data Platforms. Be ready to discuss specific projects where you've used PySpark and how you've scaled data products. This will show that you not only understand the technology but can also apply it effectively.
✨Showcase Your Leadership Skills
Since this role involves leading large teams, prepare examples of how you've successfully managed projects and motivated your team. Think about challenges you've faced and how you overcame them, as well as how you engaged with senior stakeholders.
✨Engage in Strategic Conversations
Be prepared to discuss how you would drive end-to-end solutions. Think strategically about data architecture and be ready to share your vision for how data can transform business processes. This will demonstrate your ability to think at a higher level.
✨Emphasise Collaboration and Innovation
This role is in a collaborative environment, so highlight your experiences working in teams. Share instances where your imagination led to innovative solutions, and express your enthusiasm for contributing to a culture that values creativity and professional growth.
